Computer Vision Laboratory, ETH Zurich, Zurich, Switzerland.
Med Image Anal. 2012 Apr;16(3):704-20. doi: 10.1016/j.media.2010.07.012. Epub 2010 Sep 29.
Operative treatment of displaced fractures of the proximal humerus is among the most difficult problems in orthopedic shoulder surgery. An accurate preoperative assessment of fragment displacement is crucial for a successful joint restoration. We present a computer assisted approach to precisely quantify these displacements. The bone is virtually reconstructed by multi-fragment alignment. In case of largely displaced pieces, a reconstruction template based on the contralateral humerus is incorporated in the algorithm to determine the optimal assembly. Cadaver experiments were carried out to evaluate our approach. All cases could be successfully reconstructed with little user interaction, and only requiring a few minutes of processing time. On average, the reassembled bone geometries resulted in a translational displacement error of 1.3±0.4 mm and a rotational error of 3.4±2.2°, respectively.
移位性肱骨近端骨折的手术治疗是骨科肩部手术中最具挑战性的问题之一。术前准确评估骨折块移位对于关节重建的成功至关重要。我们提出了一种计算机辅助方法来精确量化这些移位。通过多片段对齐对骨骼进行虚拟重建。在严重移位的情况下，算法中会纳入基于对侧肱骨的重建模板来确定最佳组装。我们进行了尸体实验来评估我们的方法。所有病例都可以在很少的用户交互下成功重建，仅需要几分钟的处理时间。平均而言，重新组装的骨骼几何形状导致平移位移误差为 1.3±0.4 毫米，旋转误差为 3.4±2.2°。
